PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-06-16 10:21:05.141911+00:00 (UTC)
In US/Central Time, this is 2024-06-16 05:21:05.141911-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/6fe643a24a693d40b2366ebd231b562652a41daadb7de3d8dcc6f0b6c9f37b3a.png
We are just generating a random time serie here.
../../_images/217a587e41c5262b73e34f203785211113a95be072b6f7b23bd98c6691592b69.png
../../_images/91c265dce39fd56c13b916c7fc461cd941542f21579a9ef4ba602a1f2e5856c5.png